One thing has been bothering me lately. Before LLMs, a book or a technical guide was almost a contract: Of course books could be wrong, but correctness was primarily the author’s responsibility. LLMs feel fundamentally different. They don’t really give you instructions - they generate plausible hypotheses. Some are excellent. Some are subtly wrong. Which means the responsibility has quietly shifted. The model no longer guarantees correctness. The user is expected to verify, challenge, experiment, and decide what’s true. That feels like a much bigger change than “AI answers questions faster.” It’s a different relationship with knowledge itself. I’m curious whether others have noticed the same shift in how they work with LLMs. Does this resonate with your experience, or do you think I’m overstating it? submitted by /u/Choice-Attorney8884
Originally posted by u/Choice-Attorney8884 on r/ArtificialInteligence